文献类型： 会议论文
第一作者： Zsolt Péter Takács
作者： Zsolt Péter Takács 1 ; Miklós Vincze 2 ; György Eigner 3 ;
作者机构： 1.Biomatics and Applied Artificial Intelligence Institute, John von Neumann Faculty of Informatics, Óbuda University
2.Applied Informatics and Applied Mathematics Doctoral School, Óbuda University|BioTech Research Center, Óbuda University, Hungary, Budapest
3.Physiological Controls Research Center, University Research and Innovation Center, Óbuda University|Biomatics and Applied Artificial Intelligence Institute, John von Neumann Faculty of Informatics, Óbuda University
关键词： Industries;Games;Complexity theory;Logic;Artificial intelligence;Intelligent systems;Informatics;Optimization
会议名称： [ "International Symposium on Intelligent Systems and Informatics" , "IEEE International Symposium on Intelligent Systems and Informatics"]
主办单位：
页码： 347-352
摘要： In the gaming industry, AI solutions have been kept simple for many years. This is particularly true for implemen-tations such as entities with which the player engages in some form of hostile interaction, battling them. In the last 10 years, there have been two instances where general AI behaviors were moved beyond the usual and highly complex AIs were created. It is important to point out that only one of these advanced entities appeared predominantly during each of the two games. The purpose of the research is to highlight why general AI solutions are kept simple, and whether it is feasible or advisable to change this. For the purpose of the research, a general AI entity was developed, and its expansion began for research purposes.
分类号： tp18-53
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